Agent skill

Personal Boardroom

by FAIRY123456789 in FAIRY123456789/human-edge-agent-skills

Stress-test a difficult career, startup, study, money, product, or life decision through a small board of explicit decision lenses, then synthesize one evidence-weighted recommendation.

MITAuto-check passedTesting & QA

Install Personal Boardroom

skills CLI
$ npx skills add FAIRY123456789/human-edge-agent-skills --skill personal-boardroom -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install FAIRY123456789/human-edge-agent-skills personal-boardroom --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/FAIRY123456789/human-edge-agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/personal-boardroom .claude/skills/personal-boardroom && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
personal-boardroom
GitHub stars
103
Token cost
~540 tokens
SKILL.md length
214 words
Files
2
Skills in repo
18
Repo updated
First seen
Licence
MIT

At a glance

Stress-test a difficult career, startup, study, money, product, or life decision through a small board of explicit decision lenses, then synthesize one evidence-weighted recommendation.

  • Works in 8 steps: State the decision, options, deadline,… → Separate known facts, estimates,… → Give each selected seat a specific… → …
  • The user is torn between options
  • SKILL.md covers Default seats, Workflow and Output
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Personal Boardroom is an agent skill from FAIRY123456789/human-edge-agent-skills. Stress-test a difficult career, startup, study, money, product, or life decision through a small board of explicit decision lenses, then synthesize one evidence-weighted recommendation. Use when the user is torn between options, has several identities or goals in conflict, keeps receiving contradictory advice, or wants more than a generic trade-off list.

Its SKILL.md is about 540 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `README.md`).

It sits in Testing & QA, covering Load testing. The repository describes itself as: 18 portable Agent Skills for voice-native AI, human judgment, microbets, social tact, writing, life systems, and safe deployment. The licence is MIT.

When your agent uses it

  • The user is torn between options
  • Has several identities
  • Goals in conflict
  • Keeps receiving contradictory advice

Example prompts

  • “/personal-boardroom”

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

  1. State the decision, options, deadline, and non-negotiables.
  2. Separate known facts, estimates, emotions, and unknowns.
  3. Give each selected seat a specific objective and information set.
  4. Each seat must provide
  5. Identify genuine conflicts between seats.
  6. Weight arguments by evidence and reversibility, not rhetorical confidence.
  7. Prefer experiments when the uncertainty is cheaply reducible.
  8. Produce one recommendation, one fallback, and one trigger that would cause reconsideration.

What it can do on your machine

Read from SKILL.md and the folder at commit 31a0a16. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Personal Boardroom loads about 540 tokens when it runs. Until then it costs about 94 tokens; SKILL.md has 214 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~94
When it runs · the whole SKILL.md, loaded when a task matches
~540

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from FAIRY123456789/human-edge-agent-skills at commit 31a0a16, republished under its MIT licence (© FAIRY123456789). 214 words, ~540 tokens.

Download SKILL.mdSave it as .claude/skills/personal-boardroom/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
personal-boardroom
description
Stress-test a difficult career, startup, study, money, product, or life decision through a small board of explicit decision lenses, then synthesize one evidence-weighted recommendation. Use when the user is torn between options, has several identities or goals in conflict, keeps receiving contradictory advice, or wants more than a generic trade-off list.
license
MIT
metadata.author
Joy T <101039451+FAIRY123456789@users.noreply.github.com>
metadata.tags
decision-making, strategy, reflection

Personal Boardroom

Multiple perspectives are useful only if they expose different objectives, information, and risks.

Default seats

Adapt the seats to the decision. Typical lenses:

  • Operator: What can actually be executed with current time and resources?
  • Builder or engineer: What compounds capability and creates hard-to-fake skill?
  • User or customer: What creates external value?
  • Investor or resource allocator: Where is upside relative to opportunity cost?
  • Future self: What option preserves or expands later choices?
  • Risk officer: What can create irreversible downside?

Do not impersonate real people or fabricate what a named mentor would say. Use generic lenses unless the user supplies a person's actual prior advice.

Workflow

  1. State the decision, options, deadline, and non-negotiables.
  2. Separate known facts, estimates, emotions, and unknowns.
  3. Give each selected seat a specific objective and information set.
  4. Each seat must provide:
    • strongest case;
    • biggest risk;
    • one missing fact that could change its view.
  5. Identify genuine conflicts between seats.
  6. Weight arguments by evidence and reversibility, not rhetorical confidence.
  7. Prefer experiments when the uncertainty is cheaply reducible.
  8. Produce one recommendation, one fallback, and one trigger that would cause reconsideration.

Output

  • Decision frame
  • Board perspectives
  • Key conflicts
  • Evidence-weighted synthesis
  • Recommendation
  • Reconsideration trigger

Do not end with “it depends” when the available information supports a ranked choice.

© FAIRY123456789, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/personal-boardroom of FAIRY123456789/human-edge-agent-skills.

  • SKILL.md
  • README.md

Open the folder on GitHubat commit 31a0a16

Compare with similar skills

Personal Boardroom next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Personal Boardroom compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Personal Boardroom this skillFAIRY123456789/human-edge-agent-skills103—~540Automated safety check: PassMIT
Writing Livekit Scenarioslivekit-examples/agent-starter-python2641 repos~2.5kAutomated safety check: PassMIT
Go Testingcxuu/golang-skills1731 repos~1.3kAutomated safety check: PassApache-2.0
Goalcraftgrp06/goalcraft102—~3.8kAutomated safety check: PassMIT
Thinking Partnermattnowdev/thinking-partner206—~4.4kAutomated safety check: PassMIT
Visionkunchenguid/vision331—~2.9kAutomated safety check: PassMIT

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Categories

Questions about Personal Boardroom

What does Personal Boardroom do?

Stress-test a difficult career, startup, study, money, product, or life decision through a small board of explicit decision lenses, then synthesize one evidence-weighted recommendation. Personal Boardroom is an agent skill from FAIRY123456789/human-edge-agent-skills. Stress-test a difficult career, startup, study, money, product, or life decision through a small board of explicit decision lenses, then synthesize one evidence-weighted recommendation.

When should I use Personal Boardroom?

Personal Boardroom fits situations like: the user is torn between options; has several identities; goals in conflict; keeps receiving contradictory advice.

How do I install Personal Boardroom in Claude Code?

Run `npx skills add FAIRY123456789/human-edge-agent-skills --skill personal-boardroom -a claude-code`. Or copy the skill folder (skills/personal-boardroom in FAIRY123456789/human-edge-agent-skills) into .claude/skills/personal-boardroom in your project. Claude Code loads it when a task matches its description.

How do I install Personal Boardroom in Codex?

Run `npx skills add FAIRY123456789/human-edge-agent-skills --skill personal-boardroom -a codex`. Or copy the skill folder (skills/personal-boardroom in FAIRY123456789/human-edge-agent-skills) into .agents/skills/personal-boardroom in your project. Codex loads it when a task matches its description.

Can I use Personal Boardroom in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add FAIRY123456789/human-edge-agent-skills --skill personal-boardroom -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/personal-boardroom, .gemini/skills/personal-boardroom, .github/skills/personal-boardroom and .opencode/skills/personal-boardroom in your project.

What does Personal Boardroom need to run?

SKILL.md names no scripts, command-line tools or credentials: Personal Boardroom is instructions for the agent only.

Does Personal Boardroom access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Personal Boardroom safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Personal Boardroom use?

Personal Boardroom is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Personal Boardroom use?

About 540 tokens (SKILL.md is roughly 2.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Personal Boardroom?

Skills that share tags, products or a category with Personal Boardroom: Writing Livekit Scenarios (livekit-examples/agent-starter-python, 264 stars), Go Testing (cxuu/golang-skills, 173 stars), Goalcraft (grp06/goalcraft, 102 stars) and Thinking Partner (mattnowdev/thinking-partner, 206 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Personal Boardroom?

FAIRY123456789 (a GitHub user) maintains it in FAIRY123456789/human-edge-agent-skills, which has 103 GitHub stars. The repository holds 18 skills in this directory. The repository was last updated on October 10, 2026.

Source: FAIRY123456789/human-edge-agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.